User agent detail

Mozilla/5.0 (Linux; U; Android; en_us; HUAWEI Y300-0151 Build/) AppleWebKit/530.17 (KHTML, like Gecko) Version/4.0 NetFrontLifeBrowser/2.3 Mobile (Dragonfruit)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close HuaweiY300-0151closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
NetFrontLifeBrowser 2.3WebKit Android Mobile Phoneyesyes0.0156 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.0156 Detail
BrowscapPhp
6014
NetFrontLifeBrowser 2.3closeAndroid closecloseMobile Phoneyesyesclose0 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Mozilla closeAndroidOS closeclosecloseyescloseclose0.0156 Detail
NeutrinoApiCom

NetFront Life Browser 2.3closeAndroid HuaweiAscend Y300mobile-browseryescloseclose0.2652 Detail
PiwikDeviceDetector
3.6.1
NetFront Life 2.3NetFront Android HuaweiY300-0151smartphoneyes0 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
closeAndroid HuaweiY300-0151closeclosecloseclose0 Detail
UserAgentApiCom

Mozilla 5.0WebKit 530.17closeclosecloseMobileclosecloseclose0.156 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid closecloseclosecloseclose0.1092 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 530.17Android closeclosecloseclosecloseclose0.2652 Detail
WhichBrowser
v2.0.18
NetFront Life Browser 2.3Webkit 530.17Android HuaweiAscend Y300mobile:smartyescloseclose0 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit closeLinux Feature Phoneyesyescloseclose0.0156 Detail
Zsxsoft
1.3
NetFront LifeBrowsercloseAndroid HuaweiY300closeclosecloseclosecloseclose0 Detail

About this comparison

The primary goal of this project is simple
I wanted to know which user agent parser is the most accurate in each part - device detection, bot detection and so on...

The secondary goal is to provide a source for all user agent parsers to improve their detection based on this results.

You can also improve this further, by suggesting ideas at ThaDafinser/UserAgentParserComparison

The comparison is based on the abstraction by ThaDafinser/UserAgentParser
Comparison created 2016-05-10 07:50:33 | by ThaDafinser